ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2006
Implications of new technology for infectious diseases practice.
Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- PCR using blood for diagnosis of invasive pneumococcal disease: systematic review and meta-analysis.Journal of clinical microbiology · 2010Pooled it
- Impact of international laboratory partnerships on the performance of HIV/sexually transmitted infection testing in five resource-constrained countries.International journal of STD & AIDS · 2011Trial
- Pathogen-Agnostic Advanced Molecular Diagnostic Testing for Difficult-to-Diagnose Clinical Syndromes-Results of an Emerging Infections Network Survey of Frontline US Infectious Disease Clinicians, May 2023.Open forum infectious diseases · 2024Article
- Amplification of bacterial genomic DNA from all ascitic fluids with a highly sensitive polymerase chain reaction.Molecular medicine reports · 2018Article
- Application of Culture-Independent Rapid Diagnostic Tests in the Management of Invasive Candidiasis and Cryptococcosis.Journal of fungi (Basel, Switzerland) · 2015Review
- Unmet diagnostic needs in infectious disease.Diagnostic microbiology and infectious disease · 2015Article
- Diagnosis of spontaneous bacterial peritonitis and an in situ hybridization approach to detect an "unidentified" pathogen.International journal of hepatology · 2014Review
- Translational genomics to develop a Salmonella enterica serovar Paratyphi A multiplex polymerase chain reaction assay.The Journal of molecular diagnostics : JMD · 2007Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
New assays for the diagnosis of infectious diseases--particularly those that use molecular technologies--will revolutionize infectious diseases practices, but the fulfillment of the promise is several years away. Problems with currently available molecular assays include a lack of knowledge about the extent of microbial nucleic acid in "normal" hosts, concentration of agent material in small volume samples, lack of microbiologist expertise, lack of adequate reimbursement, and difficulty with validation based on conventional methods. Clinicians must appreciate the shortcomings of new technology to use it effectively and appropriately. However, we are realizing tangible progress in our ability to detect new etiological agents; the availability of rapid, accurate diagnostic tests for previously difficult infections; and advances into new, human response-based paradigms for diagnostic testing.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.